I am working on a python program that, at one step, takes an input (string),
and matches it to songs/artists in a users library. I'm having some difficulty,
however, figuring out how to match when the input/library contains
numbers/special characters. For example, take the group "All-4-One". In my
library it might be listed exactly like that. I need to match this to ANY of
the following inputs:
• all-4-one (of course)
• all 4 one (no dashes)
• all 4 1 (all numbers)
• all four one (all spelled out)
• all for one
Or, really, any other combination that sounds the same. The reasoning for this
is that the input comes from a speech recognition system, so the user speaking,
for example, "4", could be recognized as "for", "four" or "4". I'd imagine that
Alexa/Siri/Google all do things like this (since you can ask them to play
songs/artists), but I want to implement this in Python.
In initial searching, I did find the "fuzzy" library, which at first glance
appeared to be what I was looking for, but it, apparently, ignores numbers,
with the result that "all 4 one" gave the same output as "all in", but NOT the
same output as "all 4 1" - even though "all 4 1" sounds EXACTLY the same, while
"all in" is only similar if you ignore the 4.
So is there something similar that works with strings containing numbers? And
that would only give me a match if the two strings sound identical? That is,
even ignoring the numbers, I should NOT get a match between "all one" and "all
in" - they are similar, but not identical, while "all one" and "all 1" would be
identical.
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